An energy efficient street lighting framework: ANN-based approach

被引：0
作者：
Pragna Labani Sikdar
Parag Kumar Guha Thakurta
机构：
[1] NIT Durgapur,Department of Computer Science and Engineering
来源：
Innovations in Systems and Software Engineering | 2021年 / 17卷
关键词：
Street lighting; Energy consumption; Illuminance; Artificial neural network; Mean square error;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An energy efficient street lighting framework is proposed in this paper to reduce energy consumption obtained from the street lights. It is determined for various possible inter-distances offered by International Commission on Illumination. An ANN model is approached to obtain such reduced energy consumption for various traffic volumes on the road with minimum mean square error. The results of the proposed approach show an improvement over existing works.
引用
收藏
页码：131 / 139
页数：8
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